Data Scientist, Completions Analytics

About Corva

Corva has built a first-of-its-kind energy app store on a bedrock of best-in-class technologies, data pipelines, and a secure and scalable architecture. Our energy solutions solve today's toughest well delivery challenges, from well design through drillout.

The ever-evolving platform is not only future-proof for digitizing operations but is your toolkit to accelerate sustainability and energy transition goals. Our platform is built for speed and reliability and delivers unmatched features and capabilities.

Corva is powering worldwide innovation by driving efficiency, productivity, and profitability with our innovative energy solutions.

Mission

Corva ’s mission is to accelerate the future of energy.

Values

Boldness : Corva nauts have the confidence and courage to question status quo for the products we make and the relationships we cultivate.

Own End-to-End : We take ownership of what we start and see it through to completion through trust and dependability.

Transparency : It's crucial to be open and honest and consistent with updates and data flow with customers and colleagues. We value the free-flowing of information and data to make better decisions.

Bias Action : Corva nauts don't sit still - our default mode is taking action! We make progress through high-quality iterations. Failure is built into the process and success is defined by the number of shots on goal.

About the role

We are seeking a Senior Data Scientist to support the research, development, and deployment of

advanced analytics solutions for hydraulic fracturing, completions, and production operations.

This role focuses on applying data analysis, statistical modeling, physics-informed approaches,

and software development to solve complex operational challenges. The ideal candidate

combines strong Python programming skills with a deep understanding of oilfield operations,

particularly completions and hydraulic fracturing.

You will work closely with engineers, domain experts, and software developers to transform

operational data into scalable tools, workflows, and decision-support applications that improve

efficiency, reliability, and performance across customer operations.

What you'll do

Analytics & Applied Research

Analyze large-scale operational datasets from completions, hydraulic fracturing, and production operations

Develop statistical, physics-based, empirical, and data-driven models to improve operational understanding and decision making

Conduct applied research focused on frac performance, pumping efficiency, equipment reliability, pressure analysis, and operational optimization

Design and execute studies to identify key drivers of operational performance

Develop algorithms and workflows for anomaly detection, forecasting, diagnostics, and optimization

Translate engineering problems into analytical solutions that provide measurable business value

Validate models and recommendations using field data and operational feedback

Software Development & Data Engineering

Design, develop, and maintain production-quality Python applications and analytics tools

Build scalable data processing pipelines for structured and time-series datasets

Develop reusable software components, libraries, and APIs supporting analytics workflows

Write clean, maintainable, and well-tested code following software engineering best practices

Participate in code reviews and contribute to shared codebases

Collaborate with software engineers to integrate analytical solutions into customer-facing products

Collaboration & Business Impact

Work closely with completions engineers, product managers, and software teams to define requirements and deliver solutions

Communicate analytical findings clearly to technical and non-technical stakeholders

Support customers and internal teams in understanding operational trends and performance drivers

Identify opportunities to improve operational efficiency, reduce costs, and increase asset performance

Document methodologies, assumptions, and analytical workflows

Education & Experience

Master's or PhD in Petroleum Engineering, Data Science, Statistics, Applied Mathematics, Engineering, Computer Science, or a related quantitative field

5+ years of experience in data science, analytics, engineering research, or software development

Experience working with oil and gas operational data

Strong preference for candidates with completions, hydraulic fracturing, stimulation, or production optimization experience

Experience delivering analytical solutions that drive measurable operational improvements

Technical Skills

Strong Python programming skills with experience developing production-quality software

Experience with scientific computing and data analysis libraries such as Pandas, NumPy, SciPy, and scikit-learn

Strong SQL and database experience

Experience working with time-series data and large operational datasets

Knowledge of statistical analysis, predictive modeling, and experimental design

Experience developing optimization, forecasting, or diagnostic workflows

Familiarity with software development best practices, version control, testing, and code reviews

Oil & Gas Domain Expertise

Strong understanding of hydraulic fracturing and completions operations

Knowledge of frac equipment, pumping operations, pressure analysis, treatment design, and operational KPIs

Experience analyzing frac, wireline, production, or well-performance datasets

Ability to identify operational anomalies, inefficiencies, and root causes from field data

Understanding of operational workflows and engineering decision-making processes

Preferred Qualifications

Experience with real-time operational data systems

Familiarity with cloud environments and data platforms

Experience with machine learning applications for forecasting, classification, or anomaly detection

Familiarity with geoscience, production, or reservoir engineering datasets

Experience publishing technical papers, patents, or industry presentations

Professional Skills

Strong analytical thinking and problem-solving abilities

Excellent written and verbal communication skills

Ability to work independently and manage multiple projects simultaneously

Effective collaboration within multidisciplinary teams

Ability to balance technical rigor with practical business needs

Strong organizational and documentation skills

Originally posted on Himalayas